Application of Feature Selection for Unknown Malicious Detection

Machine learning or data mining method can identify new or unknown malicious executables with some degree of success.Feature selection is a key to applying data mining or machine learning to detect malicious executables.In order to improve detecting accuracy,a new method of extracting most representative features is purposed.The new classifier based on strings achieves has high detection rates and can be expected to perform well in real-world conditions.